{"id":"W4281606820","doi":"10.1038/s43856-022-00125-4","title":"Insights from teaching artificial intelligence to medical students in Canada","year":2022,"lang":"en","type":"article","venue":"Communications Medicine","topic":"Artificial Intelligence in Healthcare and Education","field":"Medicine","cited_by":64,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; Queen's University; University of British Columbia","funders":"University of British Columbia","keywords":"Curriculum; Medical school; Medical education; Training (meteorology); Computer science; Artificial intelligence; Psychology; Medicine; Pedagogy; Geography","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00527686,0.0003732184,0.0003518773,0.002044408,0.02692152,0.01011051,0.002052446,0.002095998,0.006912953],"category_scores_gemma":[0.009869104,0.0005296657,0.0004913745,0.003705391,0.006568165,0.001677827,0.005076919,0.004219499,0.0006770674],"about_ca_system_candidate":true,"about_ca_system_consensus":true,"about_ca_system_score_codex":0.1636001,"about_ca_system_score_gemma":0.3156838,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.985688,"about_ca_topic_score_gemma":0.9949529,"domain_scores_codex":[0.991953,0.001585143,0.0001682487,0.0003737395,0.00240506,0.003514828],"domain_scores_gemma":[0.9795433,0.001856429,0.0005202756,0.0001282773,0.004260354,0.0136913],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003362524,0.001389674,0.1102802,0.0006704933,0.00009588536,0.003232003,0.3486892,0.001915207,0.002186707,0.07449127,0.2219295,0.2347835],"study_design_scores_gemma":[0.0001164494,0.0002576383,0.1130271,0.0008508453,0.00006649667,0.0005045197,0.3768267,0.001671531,0.001014467,0.006851427,0.4986188,0.000193885],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.548861,0.005860373,0.001781653,0.2297595,0.001286356,0.0003088516,0.0004321916,0.0001529103,0.2115572],"genre_scores_gemma":[0.9478791,0.004701907,0.002412003,0.01557786,0.0001050524,0.00006590966,0.0002302704,0.00006571673,0.02896214],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8363999,"threshold_uncertainty_score":0.9701053,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2211176726588044,"score_gpt":0.4738021737046083,"score_spread":0.2526845010458038,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}